Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	sigradi2022_35
id	sigradi2022_35
authors	Tu, Han
year	2022
title	Eyes on the Street: Assessing Window-to-Wall Ratios in Google Street Views using Machine Learning
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 175–186
summary	Windows play an important role in ‘Eyes on the Street’ in Jane Jacobs’ theory. However, vital street-level parameters in her theory, most notably windows, are rarely assessed at the urban scale due to imprecise existing datasets. To resolve this challenge, this study proposes an automated computer vision-based methodology to extract the window-to-wall ratios (WWRs) of buildings in the Bronx, New York, using semantic segmentation machine learning. This study brings together machine learning and Google Street View (GSV) to accurately assess WWRs at the urban scale. The WWR distribution results show that street-level WWRs help to analyze with other urban data, with controlled parameters, such as land use and building age. Our WWR assessment can be universally applied to other cities using geotagged street view imagery of GSV. This study can help provide a reference for precise future urban design and management assessments.
keywords	Machine Learning, Data Analytics, Google Street View (GSV), Visual quality, Window-to-wall ratio
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	caadria2022_427
id	caadria2022_427
authors	Ding, Xinyue, Guo, Xiangmin, Lo, Tian Tian and Wang, Ke
year	2022
title	The Spatial Environment Affects Human Emotion Perception-Using Physiological Signal Modes
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 425-434
doi	https://doi.org/10.52842/conf.caadria.2022.2.425
summary	In the past, spatial design was mainly from the perspective of designers. With the increasing demand for quality spaces, contemporary architecture has gradually shifted from focusing on form creation to human well-being, once again advocating the concept of "human-centered" spatial design. Exploring how the spatial environment affects human emotions and health is conducive to quantifying the emotional perception characteristics of space and promoting the improvement of human quality of life and sustainable survival. At the same time, the development of contemporary technology and neuroscience has promoted the study of the impact of spatial environment on human emotion perception. This paper summarizes the research on the impact of the spatial environment on human emotion perception in recent years. First, 28 relevant studies were screened using the PRISMA framework. Then a set of research processes applicable to this study is proposed. Next, the physiological signals currently used to study the effects of the spatial environment on human emotions are summarized and analyzed, including electroencephalography (EEG), skin response (GSR), pulse (PR), and four other signals. The architectural features studied in the related literature are mainly building structural features, building spatial geometric features, and building spatial functional attributes. The study of urban space is divided into different parts, such as urban environment characteristics and urban wayfinding behavior. Finally, we point out the shortcomings and perspectives of studies related to the influence of spatial environment on human emotion perception.
keywords	Architectural space environment, urban space, human emotional feelings, Physiological signals, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_420
id	caadria2022_420
authors	van Ameijde, Jeroen and Leung, Carson Ka Shut
year	2022
title	UAV-based People Location Tracking and Analysis for the Data-Driven Assessment of Social Activities in Public Spaces
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 293-302
doi	https://doi.org/10.52842/conf.caadria.2022.1.293
summary	In sustainable high-density cities, public spaces play an important role in supporting social and community health and well-being. Amidst ongoing urbanisation, it is of increasing importance to study public space interaction patterns and placemaking processes that contribute to the quality of life of urban residents. This paper reports on the development of a new methodology for the computational tracking and analysis of social activities in urban spaces, using Computer Vision Object Detection (CVOD) techniques to create digitalised pedestrian trajectory data. Referring to concepts from humanistic geography and time geography, our method offers a new platform for data-driven urban place studies, detecting co-presence and social interaction in relation to urban morphology. This paper focuses on the development of Machine Learning protocols, algorithms for tracing and mapping pedestrian trajectories in a georeferenced photogrammetry model, and computational analysis of co-presence. The resulting workflow forms a foundation for future research around detecting, analysing and quantifying behavioural parameters, to evaluate the ability of public spaces to support social interaction and placemaking.
keywords	Public Space Analysis, Pedestrian Location Tracking, Computer Vision Object Detection, Machine Learning, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_199
id	caadria2022_199
authors	Yang, Qing, Cao, Chufan, Li, Haimiao, Qiu, Waishan, Li, Wenjing and Luo, Dan
year	2022
title	Quantifying the Coherence and Divergence of Planned, Visual and Perceived Streets Greening to Inform Ecological Urban Planning
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 565-574
doi	https://doi.org/10.52842/conf.caadria.2022.1.565
summary	This research attempts to combine the fields of urban planning, urban design and cognitive psychology, and propose three corresponding evaluation indicators for urban ecology, and further explore the coherence and divergence between them. This research defines land vegetation coverage, visibility of street green vegetation, and people's green perception as planned green, visual green and perceived green. Specifically, the three measures (i.e., planned, visual and perceived) refer to objectively extracting park lands and canopy areas from land use data, objectively extracting green pixels from street views, and subjectively collected through visual surveys. This study hypothesizes that there could exist large variation between the three measures, which would provide distinct implications for city planners. To test our hypothesis, this study selects Brisbane as the research area, effectively using computer deep learning, data visualization and mathematical statistics methods to achieve an accurate description of the three sets of data, and proposes a comprehensive evaluation of the urban ecological theory system. The results show the credibility and scope of application of the three types of greening, and quantitatively proposed and tested the relevant theories of urban design.
keywords	Urban Green Space, Urban Ecology, Street View Image, Green Perception, Subjective Measure, SDG 3, SDG 11, SDG 13
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	sigradi2022_210
id	sigradi2022_210
authors	Cavalcante, Teane; Cardoso, Daniel; Alexandrino, Joao Victor; Fiuza, Rebeca; de Sousa, Eugenio
year	2022
title	City information modeling (CIM) applied to urban planning: the urban indicator of reachness
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 297–308
summary	This work is part of an extension and investigation project dedicated to studying solutions related to urban, social and economic innovation with the purpose of developing a Health Innovation District (HID). Purposing to define the HID’s intervention area, a group of urban indicators was developed and categorized in four layers: reachness, integrability, use diversity and social validation. This article will explain the first layer: reachness. To achieve this, it aims to appropriate a generic framework that incorporates 1) a Relational Database Management System (PostgreSQL), 2) a Geographic Information System (QGIS) and 3) a CAD software associated to an algorithmic modelator (Rhinoceros3D + Grasshopper3D), associated to computer solutions to assess if the shortest way possible between the residential lots and the points of interest has an adequate distance.
keywords	City Information Model, Urban Planning, Urban Indicators, Parametric Analysis
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	ascaad2022_085
id	ascaad2022_085
authors	Cicek, Selen; Koc, Mustafa; Korukcu, Berfin
year	2022
title	Urban Map Generation in Artist's Style using Generative Adversarial Networks (GAN)
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 264-282
summary	Artificial Intelligence is a field that is able to learn from existing data to synthesize new ones using deep learning methods. Using Artificial Neural Networks that process big datasets, complex tasks and challenges become easily resolved. As the zeitgeist suggests, it is possible to produce novel outcomes for future projections by applying various machine learning algorithms on the generated data sets. In that context, the focus of this research is exploring the reinterpretation of 21st century urban plans with familiar artist styles using different subtypes of deep-learning-based generative adversarial networks (GAN) algorithms. In order to explore the capabilities of urban map transformation with machine learning approaches, two different GAN algorithms which are cycleGAN and styleGAN have been applied on the two main data sets. First data set, the urban data set, contains 50 cities urban plans in .jpeg format collected according to the diversity of the urban morphologies. Whereas the second data set is composed of four well-known artist’s paintings, that belong to various artistic movements. As a result of training the same data sets with different GAN algorithms and epoch values were compared and evaluated. In this respect, the study not only investigates the reinterpretation of stylistic urban maps and shows the discoverability of new representation techniques, but also offers a comparison of the use of different image to image translation GAN algorithms.
series	ASCAAD
email
last changed	2024/02/16 13:29

_id	caadria2022_93
id	caadria2022_93
authors	Feng, Jiajia, Liang, Yuebing, Hao, Qi, Xu, Ke and Qiu, Waishan
year	2022
title	POI Data Versus Land Use Data, Which Are Most Effective in Modelling Theft Crimes?
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 425-434
doi	https://doi.org/10.52842/conf.caadria.2022.1.425
summary	Alleviating crime and improving urban safety is important for sustainable development of society. Prior studies have used either land use data or point-of-interests (POI) data to represent urban functions and investigate their associations with urban crime. However, inconsistent and even contrary results were yielded between land use and POI data. There is no agreement on which is more effective. To fill this gap, we systematically compare land use and POI data regarding their strength as well as the divergence and coherence in profiling urban functions for crime studies. Three categories of urban function features, namely the density, fraction, and diversity, are extracted from POI and land use data, respectively. Their global and local strength are compared using ordinary least square (OLS) regression and geographically weighted regression (GWR), with a case study of Beijing, China. The OLS results indicate that POI data generally outperforms land use data. The GWR models reveal that POI Density is superior to other indicators, especially in areas with concentrated commercial or public service facilities. Additionally, Land Use Fraction performs better for large-scale functional areas like green space and transportation hubs. This study provides important reference for city planners in selecting urban function indicators and modelling crimes.
keywords	POI, Land Use, Urban Functions, Theft crime, Predictive Power, SDG 16
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ijac202220303
id	ijac202220303
authors	Kirdar, Gulce; Gulen Cagdas
year	2022
title	A decision support model to evaluate liveability in the context of urban vibrancy
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 3, pp. 528–552
summary	Liveability can be accepted as an umbrella term covering all the factors that make a place to live. We recognize the versatility of urban liveability and focus on the vibrancy aspect. Regarding the literature, we compile variables affecting urban liveability under the economic, image, and use value of place. This article aims to present a data-driven decision support system to evaluate different dimensions of vibrancy-focused liveability. We adopt a knowledge discovery process to handle the complexity of the liveability concept. This study develops a conditional-based relationship network of vibrancy parameters through the Bayesian Belief Network (BBN). Then, we assess the BBN’s correlations with statistics and causal relations with the survey in this study.These results mostly agree with the findings of the relevant literature. The economic value results show that the high density, diversity and accessibility add a premium to the land value of properties. The use value results also demonstrate that the diversity and density of activities, cultural attributes, and high accessibility support place attractiveness. The selected streetscape variables improve image value, except for building enclosure and condition. The study has the potential for urban planners to vitalize neighborhoods by considering urban activities and urban physical attributes
keywords	liveability, vibrancy, knowledge discovery process, big data, locative data, Bayesian belief network
series	journal
last changed	2024/04/17 14:29

_id	caadria2022_238
id	caadria2022_238
authors	Liu, Nuozhi and Koh, Immanuel
year	2022
title	Machine-Reading Places & Spaces: Generative Probabilistic Modelling of Urban Thematic Zones & Contexts
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 465-474
doi	https://doi.org/10.52842/conf.caadria.2022.1.465
summary	In this paper, a "place" is conceptualised as a composition of dynamic socioeconomic activities and collective perceptions. We apply generative probabilistic modelling to explore urban contextual semantics. By analogy to sorting documents into different topics, this research retrieves data embedding for each urban regions and classify them with thematic zones. Using Singapore as a case study, topic modelling is applied to retrieve perceptual and functional thematic zones from Instagram and TripAdvisor respectively. A subsequent analysis shows strong correlations among certain regions with functional and perceptual consistency. In addition, with our proposed uniqueness and diversity indices, a strong negative correlation at 0.82 is found, suggesting that a region could be more unique if the functions tend to be dominated by certain types of functional and perceptual thematic zones.
keywords	Machine Learning, Natural Language Processing, Generative Probabilistic Models, Urban Data Modelling, Thematic Zones, Topic Modelling, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_146
id	ecaade2022_146
authors	Yin, Zihan, Wang, Likai and Ji, Guohua
year	2022
title	Wind-driven Design Optimization of Building Layouts - A case study of the residential building neighborhoods
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 629–638
doi	https://doi.org/10.52842/conf.ecaade.2022.1.629
summary	As one of the most important factors for urban microclimate, the wind environment is crucial for conserving energy, reducing carbon emissions, diluting pollutants, and improving human comfort. This paper attempts to explore wind-driven design optimization of building layouts, and a residential neighborhood in Nanjing China is chosen as a case study. The workflow combines parametric modeling, FFD simulation, and optimization tool on the Rhino-Grasshopper platform. To increase the diversity of layout design variants, three design strategies are integrated into the parametric modeling. In particular, the disposition of the open space is taken into account because it plays an important role in the outdoor wind environment. GH_Wind and Octopus plug-ins are used for FFD solving and optimization respectively. The optimization process is carried out under two different wind conditions. The results provide optimal configurations of the building layout parameters for improving the outdoor wind environment.
keywords	Design Optimization, Building Layout, Wind Environment, Fast Fluid Dynamics, Open Space
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_102
id	caadria2022_102
authors	Gardner, Nicole, Haeusler, Matthias Hank, Yu, Daniel, Barton, Jack, Dunn, Kate and Huang, Tracy
year	2022
title	Revisiting Shoei Yoh: Developing a Workflow for a Browser-Based 3D Model Environment to Create an Immersive Digital Archive
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 687-696
doi	https://doi.org/10.52842/conf.caadria.2022.1.687
summary	The digitisation of architecturally significant buildings and sites creates opportunities to innovate methods of analysis, interpretation, representation, and audience engagement. To illustrate this potential, but also examine the attendant challenges, this paper outlines a research project that has digitised archival assets and living buildings designed by the Japanese architect Shoei Yoh to create an immersive 3D Spatial Archive. It focuses particularly on the creation of a browser-based 3D environment using WebGL technology that connects to and displays a repository of digitised archival assets. This includes the use of 3D scan data of Yoh's Naiju Community Centre project to accurately model the 3D immersive environment and a Grasshopper / Rhino into the glTF. File format (graphics library Transmission Format) workflow to render Naiju‚s complex geometry and detailed outdoor scenery. The paper demonstrates how using the .glTF File, which is an open format specifically for transmitting processed and pre-calculated 3D models, can improve the processing efficiency of web-browser based 3D environments. Improving the stability and processing speed of 3D browser-based environments is significant to enhancing how audiences can connect with and experience culturally significant sites remotely. The digital recreation and repurposing of Naiju (which is currently unoccupied and in a state of disrepair) as an immersive archival exhibition space operates to simultaneously protect the real building from over visitation, but also raise awareness of its cultural significance to support preservation efforts. In so doing, the paper makes a further contribution to the developing field of digital cultural heritage.
keywords	Digital Cultural Heritage, Browser-based Modelling, glTF File, Architectural Visualisation, Shoei Yoh, SDG 9, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ijac202220207
id	ijac202220207
authors	Noel, Vernelle AA
year	2022
title	Computational regionalism: De-familiarization of tectonics in the wire-bending craft
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 277–296
summary	Computer-based design and fabrication systems in architecture contain modes of operation and preferencesthat often constrain tectonic possibilities in design and construction. These predispositions neglect architecture’s cultural and material dimensions, resulting in universalizing tectonics that erase nuances of place,culture, and expression in design. How may we celebrate local tectonic languages while also revisiting themthrough computer-based systems in architecture? The project examined here highlights novel possibilities forcultural expression and craftsmanship through computational design methods, retaining the expressivepotential of a local craft while de-familiarizing its cultural context. I analyze how shape grammars and digitalfabrication methods deployed in design, de-familiarizes the craft of wire-bending in costuming in the TrinidadCarnival. I present and apply new rules for the craft’s computational description based on material tests andan architectural application to expand discourses on critical regionalism. I adopt Tabbarah’s term “computational regionalism” to describe this process and elaborate it as a five-step sequence. Computationalregionalism employs computational methods to translate local craft knowledge and tectonic languages intonew interpretations and poetics of construction. Its process of creative de-familiarization raises criticalquestions about the local and the universal
keywords	Computational regionalism, craft, wire-bending, Bailey-Derek grammar, de-familiarization, Trinidad Carnival, tectonics
series	journal
last changed	2024/04/17 14:29

_id	acadia22pr_124
id	acadia22pr_124
authors	Ago, Viola; Tursack, Hans
year	2022
title	Understorey - A Pavilion in Parts
source	ACADIA 2022: Hybrids and Haecceities [Projects Catalog of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-7-4]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 124-129.
summary	In the summer of 2018, our collaboration was awarded a University Design Fellowship from the Exhibit Columbus organization to design, fabricate, and build a large pavilion in Columbus, Indiana as part of a biannual contemporary architecture exhibition. Our proposal for the competition was a pavilion that would double as an ecological education center. Our inspiration for this program was triggered in part by our reading of Jane Bennett’s materialist philosophy outlined in her book Vibrant Matter (2009). Through Bennett’s lens, our design rendered our site’s context as an animate field, replete with pre-existing material composites that we wanted to celebrate through a series of displays, information boards, and artificial lighting. In this, the installation would feature samples of local plants, minerals, and rocks, indigenous to Southern Indiana.
series	ACADIA
type	project
email
last changed	2024/02/06 14:06

_id	acadia22_156
id	acadia22_156
authors	Agraviador, Armand; Scott, Jane; Kaiser, Romy; Elsacker, Elise; Hoenerloh, Aileen; Topcu, Ahmet; Bridgens, Ben
year	2022
title	BioKnit
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 156-167.
summary	The paper discusses how catenary geometry was used to define parameters for knitting and mycelium, and how they were applied to the design of a 3D knit preform. In addition, the paper evaluates the success of the bespoke growth chamber fabricated for this research. The growth chamber was designed to support the hanging preform as a catenary vault during growing and to optimize mycelium growth via environmental controls. Findings of the research highlight the significance of computational methods to enable the design and construction of biohybrid textile systems that move from an assimilation of discrete material elements with defined boundaries to a cohesive technological approach.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	caadria2022_205
id	caadria2022_205
authors	Bielski, Jessica, Langenhan, Christoph, Ziegler, Christoph, Eisenstadt, Viktor, Dengel, Andreas and Althoff, Klaus-Dieter
year	2022
title	Quantifying the Intangible, A Tool for Retrospective Protocol Studies of Sketching During the Early Conceptual Design of Architecture
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 403-411
doi	https://doi.org/10.52842/conf.caadria.2022.1.403
summary	Sketching is a craft supporting the development of ideas and design intentions, as well as an effective tool for communication during the early architectural design stages by making them tangible. Even though sketch-based interaction is a promising approach for Computer-Aided Architectural Design (CAAD) systems, it remains a challenge for computers to recognise information in a sketch. Design protocol studies conducted to deconstruct the sketch and sketching process collect solely qualitative data so far. However, the 'metis' projects aim to create an intelligent design assistant, using an artificial neural network (ANN), in the manner of Negroponte‚s Architecture Machine. By assimilating to the user's idiosyncrasies, the system suggests further design steps to the architect to improve the design decision making process for economic growth, qualitative self-education through the dialogue and reducing stress. For training such ANN quantitative data is needed. In order to produce quantifiable results from such a study, we propose our open-source web-tool ‚Sketch Protocol Analyser‚. By correlating different parameters (i.e. video, transcript and sketch built) through the same labels and their timestamps, we create quantitative data for further use.
keywords	Design Protocol Studies, Sketching, Data Collection, Architectural Design Process, ANN, SDG 3, SDG 4, SDG 8, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	sigradi2022_273
id	sigradi2022_273
authors	He, Isa; Song, Humbi; Seibold, Zach; Ibrahim, Ibrahim; Sayegh, Allen
year	2022
title	Mental Breadcrumbs: Developing biometric methods to understand how emotions and sensory cues affect wayfinding
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 869–880
summary	How do one’s emotions, mental state, and the spatial environment interact? Interdisciplinary research methods in architecture and neuroscience can be used to examine the interrelated factors of mental load, sensory cues, emotions, and memory in wayfinding. The objective is to propose a biometric methodology for quantifying the emotional and cognitive experience of wayfinding, and to present a pilot experiment on the impact of mental load on wayfinding. The methodology collected biometric (electrodermal activity, electroencephalogram, heart rate, accelerometer), visuospatial (GPS, camera), and interview data. The pilot study revealed a new category of sensory cues used by individuals to wayfind. Identified as “breadcrumbs” and associated with subjective emotions, researchers propose an addition to Kevin Lynch’s elements of the built environment that contribute to cognitive mapping. The aim is to invite a rethinking of the typically precedent-based nature of spatial design, bolstering the discussion with individual experience data to encourage evidence-based design.
keywords	Interdisciplinary Design, Biometric, Wayfinding, Sensory Cues, Mental Load
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	ascaad2022_105
id	ascaad2022_105
authors	Morsi, Nihal; Kamel, Shaimaa; Sabry, Hanan; Assem, Ayman
year	2022
title	Computational Design for Architectural Space Planning of Commercial Exhibitions: A Framework for Visitors Interaction using Parametric Design and Agent-based Modeling
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 361-376
summary	Using computational tools for evaluating spatial layouts of commercial exhibitions provides an opportunity for assessment of performance before execution. However, most evaluation techniques take into consideration only the physical qualities of the built environment, excluding important factors such as crowds. Crowds are essentially dynamic obstacles that hinder visibility and can induce flight response, but they are also a sign of good exposure when in reasonable amounts. This is mostly due to the challenge of quantifying spatial qualities such as users’ interaction and movement for computational representations. This paper proposes a framework using agent-based modeling for simulating user interaction in commercial exhibition spaces combined with a parametric representation of the built environment. The framework is then evaluated by applying it to a case-study of three layout scenarios in a generic exhibition hall. The simulation results show that layouts with vertical aisles, and less horizontal aisles have better footfall distribution.
series	ASCAAD
email
last changed	2024/02/16 13:38

_id	acadia22_290
id	acadia22_290
authors	Mun, Kristine; Bogosian, Biayna
year	2022
title	Experimentations in Neuroscience for Architecture
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 290-293.
summary	Integrating computational methods in design and construction has intensified the discipline’s focus on quantifying buildings and occupants. However, when quantifying the human body, the metrics are often related to the physical dimensions (proportions, loads, heat, cold) and not psychological or psychophysical (stress, perception, emotion). This Field Note builds on the authors’ experience and research focused on a ‘Neuroscience for Architecture’ approach to designing healthier environments
series	ACADIA
type	field note
email
last changed	2024/02/06 14:00

_id	caadria2022_227
id	caadria2022_227
authors	Stuart-Smith, Robert and Danahy, Patrick
year	2022
title	Visual Character Analysis within Algorithmic Design: Quantifying Aesthetics Relative to Structural and Geometric Design Criteria
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 131-140
doi	https://doi.org/10.52842/conf.caadria.2022.1.131
summary	Buildings are responsible for 40% of world C02 emissions and 40% of the world's raw material consumption. Designing buildings with a reduced material volume is essential to securing a post-carbon built environment and supports a more affordable, accessible architecture. Architecture‚s material efficiency is correlated to structural efficiency however, buildings are seldom optimal structures. Architects must resolve several conflicting design criteria that can take precedence over structural concerns, while material-optimization is also impacted from limited means to quantitatively assess aesthetic decisions. Flexible design methods are required that can adapt to diverse constraints and generate filagree material arrangements, currently infeasible to explicitly model. A novel approach to generative topological design is proposed employing a custom multi-agent method that is adaptive to diverse structural conditions and incorporates quantitative analysis of visual formal character. Computer vision methods Gabor filtering, Canny Contouring and others are utilized to evaluate the visual appearance of designs and encode these within quantitative metrics. A matrix of design outcomes for a pavilion are developed to test adaptation to different spatial arrangements. Results are evaluated against visual character, structural, and geometric methods of analysis and demonstrate a limited set of aesthetic design criteria can be correlated with structural and geometric data in a quantitative metric.
keywords	Generative/Algorithmic Design, Computer Vision, Environmental Performance, Multi-Agent Systems, Visual Character Analysis, SDG 10, SDG 11, SDG 9, SDG 12, SDG 13
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_168
id	ecaade2022_168
authors	Abdulmawla, Abdulmalik, Schneider, Sven, Koenig, Reinhard, Bielik, Martin and Fuchkina, Ekaterina
year	2022
title	Parametric Urban Data Structuring and Spatial Query - Advanced data mapping and selection methods for parametric modelling environments
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 277–286
doi	https://doi.org/10.52842/conf.ecaade.2022.2.277
summary	This paper presents a method for organising urban data inside the CAD environment into a hierarchical structure, which promotes the ease of transferring information between all available urban elements, from streets to buildings passing by the plots and blocks. This is done using parametric methods that map the urban data using the available CAD and GIS records. Finally, the paper presents a couple of example scenarios where such methods are most needed and how much they could facilitate more detailed and complex data to be accessed, compared, and analysed.
keywords	Urban Query, Urban Geometry, Spatial Mapping
series	eCAADe
email
last changed	2024/04/22 07:10

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